Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma

Xinsen Xu; Jiaqi Qu; Yijue Zhang; Xiaohua Qian; Tao Chen; Yingbin Liu

doi:10.3389/fonc.2023.1074445

Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma

Front Oncol. 2023 Feb 24:13:1074445. doi: 10.3389/fonc.2023.1074445. eCollection 2023.

Authors

Xinsen Xu¹, Jiaqi Qu², Yijue Zhang³, Xiaohua Qian², Tao Chen¹, Yingbin Liu^{1

4

5

6}

Affiliations

¹ Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
² School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
³ Department of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
⁴ Shanghai Key Laboratory of Biliary Tract Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
⁵ Shanghai Research Center of Biliary Tract Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
⁶ State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai, China.

Abstract

Objective: To develop and validate an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma (PDAC).

Background: "Radiomics" enables the investigation of huge amounts of radiological features in parallel by extracting high-throughput imaging data. MRI provides better tissue contrast with no ionizing radiation for PDAC.

Methods: There were 78 PDAC patients enrolled in this study. In total, there were 386 radiomics features extracted from MRI scan, which were screened by the least absolute shrinkage and selection operator algorithm to develop a risk score. Cox multivariate regression analysis was applied to develop the radiomics-based nomogram. The performance was assessed by discrimination and calibration.

Results: The radiomics-based risk-score was significantly associated with PDAC overall survival (OS) (P < 0.05). With respect to survival prediction, integrating the risk score, clinical data and TNM information into the nomogram exhibited better performance than the TNM staging system, radiomics model and clinical model. In addition, the nomogram showed fine discrimination and calibration.

Conclusions: The radiomics nomogram incorporating the radiomics data, clinical data and TNM information exhibited precise survival prediction for PDAC, which may help accelerate personalized precision treatment.

Clinical trial registration: clinicaltrials.gov, identifier NCT05313854.

Keywords: MRI; nomogram; pancreatic cancer; prognosis; radiomics.

Associated data

ClinicalTrials.gov/NCT05313854

Grants and funding

This work was supported by the foundation of Shanghai Municipal Health Commission scientific research project (No. 20214Y0452).